Evidence map›Paper›PMID 30586468›Full record

ArticlePloS one2018

Mortality and causes of death in patients with atrial fibrillation: A nationwide population-based study.

Euijae Lee, Eue-Keun Choi, Kyung-Do Han, HyunJung Lee, Won-Seok Choe, So-Ryoung Lee, Myung-Jin Cha, Woo-Hyun Lim, Yong-Jin Kim, Seil Oh

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

118 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Fragmented QRS is associated with ventricular arrhythmias in heart failure patients: A systematic review and meta-analysis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022
    Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Euijae LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Eue-Keun ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0002-0411-6372
Kyung-Do HanDepartment of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
HyunJung LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Won-Seok ChoeDepartment of Internal Medicine, Sejong General Hospital, Bucheon, Republic of Korea.
So-Ryoung LeeDepartment of Internal Medicine, SoonChunHyang University Hospital Seoul, Seoul, Republic of Korea.
Myung-Jin ChaDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Woo-Hyun LimDepartment of Internal Medicine, Seoul National University Seoul Metropolitan Government Boramae Medical Center, Seoul, Republic of Korea.
Yong-Jin KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Seil OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with atrial fibrillation are known to have a high risk of mortality. There is a paucity of population-based studies about the impact of atrial fibrillation on the mortality risk stratified by age, sex, and detailed causes of death.

methodsA total of 15,411 patients with atrial fibrillation from the Korean National Health Insurance Service-National Sample Cohort were enrolled, and causes of death were identified according to codes of the 10th revision of the International Classification of Diseases.

resultsFrom 2002 to 2013, a total of 4,479 (29%) deaths were confirmed, and the crude mortality rate for all-cause death was 63.3 per 1,000 patient-years. Patients with atrial fibrillation had a 3.7-fold increased risk of all-cause death compared with the general population. The standardized mortality ratio for all-cause death was the highest in young patients and decreased with increasing age (standardized mortality ratio 21.93, 95% confidence interval 7.60-26.26 in patients aged <20 years; standardized mortality ratio 2.77, 95% confidence interval 2.63-2.91 in patients aged ≥80 years). Women with atrial fibrillation exhibited a greater excess mortality risk than men (standardized mortality ratio 3.81, 95% confidence interval 3.65-3.98 in women; standardized mortality ratio 3.35, 95% confidence interval 3.21-3.48 in men). Cardiovascular disease was the leading cause of death (38.5%), and cerebral infarction was the most common specific disease. Patients with atrial fibrillation had an about 5 times increased risk of death due to cardiovascular disease compared with the general population.

conclusionsPatients with atrial fibrillation had a 4 times increased risk of mortality compared with the general population. However, the impact of atrial fibrillation on mortality decreased with age and in men. Cerebral infarction was the most common cause of death, and more attention should be paid to reducing the risk of stroke.

Indexed as

Cause of DeathAdultAgedAged, 80 and overAtrial FibrillationCardiovascular DiseasesCerebral InfarctionFemaleHumansKoreaMaleMiddle AgedMortalityNeoplasmsRegistriesRisk Assessment

Identifiers

PMID30586468
PMCPMC6306259

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.